Review of Natural Language Processing in Radiology

被引:24
|
作者
Luo, Jack W. [1 ]
Chong, Jaron J. R. [2 ]
机构
[1] McGill Univ, Dept Radiol, 1001 Decarie Blvd,Room B02-9375, Montreal, PQ H4A 3J1, Canada
[2] Western Univ, Dept Med Imaging, 800 Commissioners Rd East,Room C1-609, London, ON N6A 5W9, Canada
关键词
Natural language processing; Deep learning; Machine learning; Radiology; Artificial intelligence; INFORMATION; SYSTEM;
D O I
10.1016/j.nic.2020.08.001
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Natural language processing (NLP) is an interdisciplinary field, combining linguistics, computer science, and artificial intelligence to enable machines to read and understand human language for meaningful purposes. Recent advancements in deep learning have begun to offer significant improvements in NLP task performance. These techniques have the potential to create new automated tools that could improve clinical workflows and unlock unstructured textual information contained in radiology and clinical reports for the development of radiology and clinical artificial intelligence applications. These applications will combine the appropriate application of classic linguistic and NLP preprocessing techniques, modern NLP techniques, and modern deep learning techniques.
引用
收藏
页码:447 / +
页数:13
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